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https://api.github.com/repos/huggingface/datasets/issues/236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/236/comments | https://api.github.com/repos/huggingface/datasets/issues/236/events | https://github.com/huggingface/datasets/pull/236 | 631,099,875 | MDExOlB1bGxSZXF1ZXN0NDI4MDUwNzI4 | 236 | CompGuessWhat?! dataset | {
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"body": "Hi @aleSuglia, thanks for this great PR. Indeed you can have both datasets in one file. You need to add a config class which will allows you to specify the different subdataset names and then you will be able to load them as follow.\r\nnlp.load_dataset(\"comp... | 2020-06-04T19:45:50Z | 2020-06-11T09:43:42Z | 2020-06-11T07:45:21Z | CONTRIBUTOR | null | null | null | Hello,
Thanks for the amazing library that you put together. I'm Alessandro Suglia, the first author of CompGuessWhat?!, a recently released dataset for grounded language learning accepted to ACL 2020 ([https://compguesswhat.github.io](https://compguesswhat.github.io)).
This pull-request adds the CompGuessWhat?! ... | {
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https://api.github.com/repos/huggingface/datasets/issues/234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/234/comments | https://api.github.com/repos/huggingface/datasets/issues/234/events | https://github.com/huggingface/datasets/issues/234 | 630,534,427 | MDU6SXNzdWU2MzA1MzQ0Mjc= | 234 | Huggingface NLP, Uploading custom dataset | {
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"body": "What do you mean 'custom' ? You may want to elaborate on it when ask a question.\r\n\r\nAnyway, there are two things you may interested\r\n`nlp.Dataset.from_file` and `load_dataset(..., cache_dir=)`",
"created_at": "2020-06-05T03:51:44Z",
"html_url": "... | 2020-06-04T05:59:06Z | 2020-07-06T09:33:26Z | 2020-07-06T09:33:26Z | NONE | null | null | {
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Does anyone know how we can call our custom dataset using the nlp.load command? Let's say that I have a dataset based on the same format as that of squad-v1.1, how am I supposed to load it using huggingface nlp.
Thank you! | {
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"body": "I think it would be nicer to not create a new folder `datasets_experimental` , but just put your datasets also into the folder `datasets` for the following reasons:\r\n\r\n- From my point of view, the datasets are not very different from the other datasets (as... | 2020-06-04T15:54:56Z | 2020-06-12T15:38:55Z | 2020-06-12T15:38:55Z | MEMBER | null | null | null | ## Adding an *experimental datasets* folder
After using the 🤗nlp library for some time, I find that while it makes it super easy to create new memory-mapped datasets with lots of cool utilities, a lot of what I want to do doesn't work well with the current `MockDownloader` based testing paradigm, making it hard to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/233/comments | https://api.github.com/repos/huggingface/datasets/issues/233/events | https://github.com/huggingface/datasets/issues/233 | 630,432,132 | MDU6SXNzdWU2MzA0MzIxMzI= | 233 | Fail to download c4 english corpus | {
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"body": "Hello ! Thanks for noticing this bug, let me fix that.\r\n\r\nAlso for information, as specified in the changelog of the latest release, C4 currently needs to have a runtime for apache beam to work on. Apache beam is used to process this very big dataset and it can... | 2020-06-04T01:06:38Z | 2021-01-08T07:17:32Z | 2020-06-08T09:16:59Z | NONE | null | null | {
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```
dataset = nlp.load_dataset('c4', 'en', beam_runner='DirectRunner'
, data_dir='/mypath')
```
and i met failure as follows
```
Downloading and preparing dataset c4/en (download: Unknown size, generated: Unknown size, total: Unknown size) to /home/adam/.... | {
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https://api.github.com/repos/huggingface/datasets/issues/231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/231/comments | https://api.github.com/repos/huggingface/datasets/issues/231/events | https://github.com/huggingface/datasets/pull/231 | 629,988,694 | MDExOlB1bGxSZXF1ZXN0NDI3MTk3MTcz | 231 | Add .download to MockDownloadManager | {
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@yjernite | {
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https://api.github.com/repos/huggingface/datasets/issues/232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/232/comments | https://api.github.com/repos/huggingface/datasets/issues/232/events | https://github.com/huggingface/datasets/pull/232 | 630,029,568 | MDExOlB1bGxSZXF1ZXN0NDI3MjI5NDcy | 232 | Nlp cli fix endpoints | {
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{
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"body": "LGTM 👍 ",
"created_at": "2020-06-04T19:53:16Z",
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"node_id": "MDE... | 2020-06-03T14:10:39Z | 2020-06-08T09:02:58Z | 2020-06-08T09:02:57Z | MEMBER | null | null | null | With this PR users will be able to upload their own datasets and metrics.
As mentioned in #181, I had to use the new endpoints and revert the use of dataclasses (just in case we have changes in the API in the future).
We now distinguish commands for datasets and commands for metrics:
```bash
nlp-cli upload_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/228/comments | https://api.github.com/repos/huggingface/datasets/issues/228/events | https://github.com/huggingface/datasets/issues/228 | 629,952,402 | MDU6SXNzdWU2Mjk5NTI0MDI= | 228 | Not able to access the XNLI dataset | {
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{
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"body": "Added pull request to change the name of the file from dataset_infos.json to dataset_info.json",
"created_at": "2020-06-03T12:32:37Z",
"html_url": "https://github.com/huggingface/datasets/issues/228#issuecomment-638166916",
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} | When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/... | {
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https://api.github.com/repos/huggingface/datasets/issues/230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/230/comments | https://api.github.com/repos/huggingface/datasets/issues/230/events | https://github.com/huggingface/datasets/pull/230 | 629,983,684 | MDExOlB1bGxSZXF1ZXN0NDI3MTkzMTQ0 | 230 | Don't force to install apache beam for wikipedia dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/227/comments | https://api.github.com/repos/huggingface/datasets/issues/227/events | https://github.com/huggingface/datasets/issues/227 | 629,845,704 | MDU6SXNzdWU2Mjk4NDU3MDQ= | 227 | Should we still have to force to install apache_beam to download wikipedia ? | {
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"body": "Thanks for your message 😊 \r\nIndeed users shouldn't have to install those dependencies",
"created_at": "2020-06-03T09:41:38Z",
"html_url": "https://github.com/huggingface/datasets/issues/227#issuecomment-638085289",
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But at the first try, it tell me to install `apache_beam` and `mwparserfromhell`, which I thought wouldn't be used according to #204 , it was kind of confusing me at that time.
Maybe we s... | {
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"body": "\r\nThis was actually the right name. `dataset_infos.json` is used to have the infos of all the dataset configurations.\r\n\r\nOn the other hand `dataset_info.json` (without 's') is a cache file with the info of one specific configuration.\r\n\r\nTo fix #228, we pr... | 2020-06-03T12:31:44Z | 2020-06-03T12:52:54Z | 2020-06-03T12:48:33Z | NONE | null | null | null | As the file required for the viewing in the live nlp viewer is named as dataset_info.json | {
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https://api.github.com/repos/huggingface/datasets/issues/225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/225/comments | https://api.github.com/repos/huggingface/datasets/issues/225/events | https://github.com/huggingface/datasets/issues/225 | 628,083,366 | MDU6SXNzdWU2MjgwODMzNjY= | 225 | [ROUGE] Different scores with `files2rouge` | {
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"body": "@Colanim unfortunately there are different implementations of the ROUGE metric floating around online which yield different results, and we had to chose one for the package :) We ended up including the one from the google-research repository, which does minimal pos... | 2020-06-01T00:50:36Z | 2020-06-03T15:27:18Z | 2020-06-03T15:27:18Z | NONE | null | null | {
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} | It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.145743337761... | {
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https://api.github.com/repos/huggingface/datasets/issues/224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/224/comments | https://api.github.com/repos/huggingface/datasets/issues/224/events | https://github.com/huggingface/datasets/issues/224 | 627,791,693 | MDU6SXNzdWU2Mjc3OTE2OTM= | 224 | [Feature Request/Help] BLEURT model -> PyTorch | {
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"body": "Is there any update on this? \r\n\r\nThanks!",
"created_at": "2020-10-06T16:40:12Z",
"html_url": "https://github.com/huggingface/datasets/issues/224#issuecomment-704404132",
"id": 704404132,
"issue_url": "https://api.github.com/repos/huggingface/datas... | 2020-05-30T18:30:40Z | 2023-08-26T17:38:48Z | 2021-01-04T09:53:32Z | NONE | null | null | {
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} | Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Tw... | {
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https://api.github.com/repos/huggingface/datasets/issues/226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/226/comments | https://api.github.com/repos/huggingface/datasets/issues/226/events | https://github.com/huggingface/datasets/pull/226 | 628,344,520 | MDExOlB1bGxSZXF1ZXN0NDI1OTA0MjEz | 226 | add BlendedSkillTalk dataset | {
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"author_association": "MEMBER",
"body": "Awesome :D",
"created_at": "2020-06-03T14:35:37Z",
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"node_id": "M... | 2020-06-01T10:54:45Z | 2020-06-03T14:37:23Z | 2020-06-03T14:37:22Z | CONTRIBUTOR | null | null | null | This PR add the BlendedSkillTalk dataset, which is used to fine tune the blenderbot. | {
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https://api.github.com/repos/huggingface/datasets/issues/222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/222/comments | https://api.github.com/repos/huggingface/datasets/issues/222/events | https://github.com/huggingface/datasets/issues/222 | 627,586,690 | MDU6SXNzdWU2Mjc1ODY2OTA= | 222 | Colab Notebook breaks when downloading the squad dataset | {
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"body": "The notebook forces version 0.1.0. If I use the latest, things work, I'll run the whole notebook and create a PR.\r\n\r\nBut in the meantime, this issue gets fixed by changing:\r\n`!pip install nlp==0.1.0`\r\nto\r\n`!pip install nlp`",
"created_at": "2020-05-29T2... | 2020-05-29T22:55:59Z | 2020-06-04T00:21:05Z | 2020-06-04T00:21:05Z | NONE | null | null | {
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} | When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
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https://api.github.com/repos/huggingface/datasets/issues/223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/223/comments | https://api.github.com/repos/huggingface/datasets/issues/223/events | https://github.com/huggingface/datasets/issues/223 | 627,683,386 | MDU6SXNzdWU2Mjc2ODMzODY= | 223 | [Feature request] Add FLUE dataset | {
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{
"author_association": "CONTRIBUTOR",
"body": "Hi @lbourdois, yes please share it with us",
"created_at": "2020-06-05T08:16:06Z",
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} | Hi,
I think it would be interesting to add the FLUE dataset for francophones or anyone wishing to work on French.
In other requests, I read that you are already working on some datasets, and I was wondering if FLUE was planned.
If it is not the case, I can provide each of the cleaned FLUE datasets (in the form... | {
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https://api.github.com/repos/huggingface/datasets/issues/221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/221/comments | https://api.github.com/repos/huggingface/datasets/issues/221/events | https://github.com/huggingface/datasets/pull/221 | 627,300,648 | MDExOlB1bGxSZXF1ZXN0NDI1MTI5OTc0 | 221 | Fix tests/test_dataset_common.py | {
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"body": "Thanks ! Good catch :)\r\n\r\nTo fix the CI you can do:\r\n1 - rebase from master\r\n2 - then run `make style` as specified in [CONTRIBUTING.md](https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md) ?",
"created_at": "2020-05-29T14:18:36Z",
"html_... | 2020-05-29T14:12:15Z | 2020-06-01T12:20:42Z | 2020-05-29T15:02:23Z | CONTRIBUTOR | null | null | null | When I run the command `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_arcd` while working on #220. I get the error ` unexpected keyword argument "'download_and_prepare_kwargs'"` at the level of `load_dataset`. Indeed, this [function](https://github.com/huggingface/nlp/blob/ma... | {
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https://api.github.com/repos/huggingface/datasets/issues/220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/220/comments | https://api.github.com/repos/huggingface/datasets/issues/220/events | https://github.com/huggingface/datasets/pull/220 | 627,280,683 | MDExOlB1bGxSZXF1ZXN0NDI1MTEzMzEy | 220 | dataset_arcd | {
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"body": "you can rebase from master to fix the CI error :)",
"created_at": "2020-05-29T14:15:43Z",
"html_url": "https://github.com/huggingface/datasets/pull/220#issuecomment-635995850",
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"issue_url": "https://api.github.com/repos/huggingface/... | 2020-05-29T13:46:50Z | 2020-05-29T14:58:40Z | 2020-05-29T14:57:21Z | CONTRIBUTOR | null | null | null | Added Arabic Reading Comprehension Dataset (ARCD): https://arxiv.org/abs/1906.05394 | {
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https://api.github.com/repos/huggingface/datasets/issues/218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/218/comments | https://api.github.com/repos/huggingface/datasets/issues/218/events | https://github.com/huggingface/datasets/pull/218 | 627,173,407 | MDExOlB1bGxSZXF1ZXN0NDI1MDI2NzEz | 218 | Add Natual Questions and C4 scripts | {
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However they are not processed nor directly available from gcp yet. | {
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https://api.github.com/repos/huggingface/datasets/issues/219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/219/comments | https://api.github.com/repos/huggingface/datasets/issues/219/events | https://github.com/huggingface/datasets/pull/219 | 627,235,893 | MDExOlB1bGxSZXF1ZXN0NDI1MDc2NjQx | 219 | force mwparserfromhell as third party | {
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https://api.github.com/repos/huggingface/datasets/issues/217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/217/comments | https://api.github.com/repos/huggingface/datasets/issues/217/events | https://github.com/huggingface/datasets/issues/217 | 627,128,403 | MDU6SXNzdWU2MjcxMjg0MDM= | 217 | Multi-task dataset mixing | {
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{
"author_association": "CONTRIBUTOR",
"body": "I like this feature! I think the first question we should decide on is how to convert all datasets into the same format. In T5, the authors decided to format every dataset into a text-to-text format. If the dataset had \"multiple\" inputs like MNLI, the inputs... | 2020-05-29T09:22:26Z | 2022-10-22T00:45:50Z | null | CONTRIBUTOR | null | null | {
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} | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sam... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/216/comments | https://api.github.com/repos/huggingface/datasets/issues/216/events | https://github.com/huggingface/datasets/issues/216 | 626,896,890 | MDU6SXNzdWU2MjY4OTY4OTA= | 216 | ❓ How to get ROUGE-2 with the ROUGE metric ? | {
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{
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"body": "ROUGE-1 and ROUGE-L shouldn't return the same thing. This is weird",
"created_at": "2020-05-29T12:59:15Z",
"html_url": "https://github.com/huggingface/datasets/issues/216#issuecomment-635958707",
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"issue_url": "https://api.github.com... | 2020-05-28T23:47:32Z | 2020-06-01T00:04:35Z | 2020-06-01T00:04:35Z | NONE | null | null | {
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} | I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
... | {
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https://api.github.com/repos/huggingface/datasets/issues/215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/215/comments | https://api.github.com/repos/huggingface/datasets/issues/215/events | https://github.com/huggingface/datasets/issues/215 | 626,867,879 | MDU6SXNzdWU2MjY4Njc4Nzk= | 215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | {
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"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
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{
"author_association": "MEMBER",
"body": "I just ran it on colab and got this\r\n```\r\n[{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812,\r\ndataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train',\r\nnum_bytes=611607465, num_examples=533285, dataset_name='b... | 2020-05-28T22:55:19Z | 2025-01-04T00:03:12Z | 2022-02-10T13:05:45Z | NONE | null | null | {
"completed": 0,
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} | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded... | {
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https://api.github.com/repos/huggingface/datasets/issues/214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/214/comments | https://api.github.com/repos/huggingface/datasets/issues/214/events | https://github.com/huggingface/datasets/pull/214 | 626,641,549 | MDExOlB1bGxSZXF1ZXN0NDI0NTk1NjIx | 214 | [arrow_dataset.py] add new filter function | {
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"body": "I agree that a `.filter` method would be VERY useful and appreciated. I'm not a big fan of using `flatten_nested` as it completely breaks down the structure of the example and it may create bugs. Right now I think it may not work for nested structures. Maybe there'... | 2020-05-28T16:21:40Z | 2020-05-29T11:43:29Z | 2020-05-29T11:32:20Z | CONTRIBUTOR | null | null | null | The `.map()` function is super useful, but can IMO a bit tedious when filtering certain examples.
I think, filtering out examples is also a very common operation people would like to perform on datasets.
This PR is a proposal to add a `.filter()` function in the same spirit than the `.map()` function.
Here is a ... | {
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https://api.github.com/repos/huggingface/datasets/issues/212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/212/comments | https://api.github.com/repos/huggingface/datasets/issues/212/events | https://github.com/huggingface/datasets/pull/212 | 626,580,198 | MDExOlB1bGxSZXF1ZXN0NDI0NTQ1NjAy | 212 | have 'add' and 'add_batch' for metrics | {
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Previously the `.add` method of metrics expected a batch of examples.
Now `.add` expects one prediction/reference and `.add_batch` expects a batch.
I think it is more coherent with the way the ArrowWriter works. | {
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For example:
```python
dataset = nlp.load_dataset('wikipedia', '20200501.aa')
```
Raises:
```
MissingBeamOptions: Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided in `load_dataset` or in the builder arguments. For big datasets it has to ru... | {
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https://api.github.com/repos/huggingface/datasets/issues/211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/211/comments | https://api.github.com/repos/huggingface/datasets/issues/211/events | https://github.com/huggingface/datasets/issues/211 | 626,565,994 | MDU6SXNzdWU2MjY1NjU5OTQ= | 211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | {
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"author_association": "CONTRIBUTOR",
"body": "Here the full error trace:\r\n\r\n```\r\nArrowInvalid Traceback (most recent call last)\r\n<ipython-input-1-7aaf3f011358> in <module>\r\n 1 import nlp\r\n 2 ds = nlp.load_dataset(\"trivia_qa\", \"rc\", split=\"validation[... | 2020-05-28T14:38:14Z | 2020-07-23T10:15:16Z | 2020-07-23T10:15:16Z | CONTRIBUTOR | null | null | {
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} | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to n... | {
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https://api.github.com/repos/huggingface/datasets/issues/210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/210/comments | https://api.github.com/repos/huggingface/datasets/issues/210/events | https://github.com/huggingface/datasets/pull/210 | 626,504,243 | MDExOlB1bGxSZXF1ZXN0NDI0NDgyNDgz | 210 | fix xnli metric kwargs description | {
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https://api.github.com/repos/huggingface/datasets/issues/209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/209/comments | https://api.github.com/repos/huggingface/datasets/issues/209/events | https://github.com/huggingface/datasets/pull/209 | 626,405,849 | MDExOlB1bGxSZXF1ZXN0NDI0NDAwOTc4 | 209 | Add a Google Drive exception for small files | {
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"body": "Can you run the style formatting tools to pass the code quality test?\r\n\r\nYou can find all the details in CONTRIBUTING.md: https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-contribute-to-nlp",
"created_at": "2020-05-28T12:03:38Z",
"ht... | 2020-05-28T10:40:17Z | 2020-05-28T15:15:04Z | 2020-05-28T15:15:04Z | CONTRIBUTOR | null | null | null | I tried to use the ``nlp`` library to load personnal datasets. I mainly copy-paste the code for ``multi-news`` dataset because my files are stored on Google Drive.
One of my dataset is small (< 25Mo) so it can be verified by Drive without asking the authorization to the user. This makes the download starts directly... | {
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https://api.github.com/repos/huggingface/datasets/issues/208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/208/comments | https://api.github.com/repos/huggingface/datasets/issues/208/events | https://github.com/huggingface/datasets/pull/208 | 626,398,519 | MDExOlB1bGxSZXF1ZXN0NDI0Mzk0ODIx | 208 | [Dummy data] insert config name instead of config | {
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Also, @lhoestq fixed small import bug introduced by beam command I think. | {
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https://api.github.com/repos/huggingface/datasets/issues/207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/207/comments | https://api.github.com/repos/huggingface/datasets/issues/207/events | https://github.com/huggingface/datasets/issues/207 | 625,932,200 | MDU6SXNzdWU2MjU5MzIyMDA= | 207 | Remove test set from NLP viewer | {
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{
"author_association": "NONE",
"body": "~is the viewer also open source?~\r\n[is a streamlit app!](https://docs.streamlit.io/en/latest/getting_started.html)",
"created_at": "2020-05-28T07:09:15Z",
"html_url": "https://github.com/huggingface/datasets/issues/207#issuecomment-635152505",
"id": 635... | 2020-05-27T18:32:07Z | 2022-02-10T13:17:45Z | 2022-02-10T13:17:45Z | NONE | null | null | {
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} | While the new [NLP viewer](https://huggingface.co/nlp/viewer/) is a great tool, I think it would be best to outright remove the option of looking at the test sets. At the very least, a warning should be displayed to users before showing the test set. Newcomers to the field might not be aware of best practices, and smal... | {
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https://api.github.com/repos/huggingface/datasets/issues/204 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/204/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/204/comments | https://api.github.com/repos/huggingface/datasets/issues/204/events | https://github.com/huggingface/datasets/pull/204 | 625,655,849 | MDExOlB1bGxSZXF1ZXN0NDIzODE5MTQw | 204 | Add Dataflow support + Wikipedia + Wiki40b | {
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## Support datasets processing with Apache Beam
Some datasets are too big to be processed on a single machine, for example: wikipedia, wiki40b, etc. Apache Beam allows to process datasets on many execution engines like Dataflow, Spark, Flink, etc.
To process such da... | {
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https://api.github.com/repos/huggingface/datasets/issues/205 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/205/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/205/comments | https://api.github.com/repos/huggingface/datasets/issues/205/events | https://github.com/huggingface/datasets/pull/205 | 625,839,335 | MDExOlB1bGxSZXF1ZXN0NDIzOTY2ODE1 | 205 | Better arrow dataset iter | {
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With these changes I should be able to come up with a `tf.data.Dataset` that uses lazy loading, as asked in #193. | {
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https://api.github.com/repos/huggingface/datasets/issues/202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/202/comments | https://api.github.com/repos/huggingface/datasets/issues/202/events | https://github.com/huggingface/datasets/issues/202 | 625,493,983 | MDU6SXNzdWU2MjU0OTM5ODM= | 202 | Mistaken `_KWARGS_DESCRIPTION` for XNLI metric | {
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{
"author_association": "MEMBER",
"body": "Indeed, good catch ! thanks\r\nFixing it right now",
"created_at": "2020-05-28T13:21:09Z",
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"issue_url": "https://api.github.com/repos/huggingfa... | 2020-05-27T08:34:42Z | 2020-05-28T13:22:36Z | 2020-05-28T13:22:36Z | NONE | null | null | {
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The [`_KWARGS_DESCRIPTION`](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/xnli/xnli.py#L45) for the XNLI metric uses `Args` and `Returns` text from [BLEU](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/bleu/bleu.py#L58) metric:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/203/comments | https://api.github.com/repos/huggingface/datasets/issues/203/events | https://github.com/huggingface/datasets/pull/203 | 625,515,488 | MDExOlB1bGxSZXF1ZXN0NDIzNzEyMTQ3 | 203 | Raise an error if no config name for datasets like glue | {
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For example for glue there are cola, sst2, mrpc etc.
Currently if a user does `load_dataset('glue')`, then Cola is loaded by default and it can be confusing. Instead, we should raise an error to let the user know that he has to p... | {
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https://api.github.com/repos/huggingface/datasets/issues/206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/206/comments | https://api.github.com/repos/huggingface/datasets/issues/206/events | https://github.com/huggingface/datasets/issues/206 | 625,842,989 | MDU6SXNzdWU2MjU4NDI5ODk= | 206 | [Question] Combine 2 datasets which have the same columns | {
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"body": "We are thinking about ways to combine datasets for T5 in #217, feel free to share your thoughts about this.",
"created_at": "2020-06-08T09:28:03Z",
"html_url": "https://github.com/huggingface/datasets/issues/206#issuecomment-640486324",
"id": 640486324,... | 2020-05-27T16:25:52Z | 2020-06-10T09:11:14Z | 2020-06-10T09:11:14Z | CONTRIBUTOR | null | null | {
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I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different task-... | {
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https://api.github.com/repos/huggingface/datasets/issues/201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/201/comments | https://api.github.com/repos/huggingface/datasets/issues/201/events | https://github.com/huggingface/datasets/pull/201 | 625,235,430 | MDExOlB1bGxSZXF1ZXN0NDIzNDkzNTMw | 201 | Fix typo in README | {
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"body": "Amazing, @LysandreJik!",
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https://api.github.com/repos/huggingface/datasets/issues/200 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/200/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/200/comments | https://api.github.com/repos/huggingface/datasets/issues/200/events | https://github.com/huggingface/datasets/pull/200 | 625,226,638 | MDExOlB1bGxSZXF1ZXN0NDIzNDg2NTM0 | 200 | [ArrowWriter] Set schema at first write example | {
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"body": "Good point!\r\n\r\nI guess we could add this to `write_batch` as well (before using `self._schema` in the first line of this method)?",
"created_at": "2020-05-26T23:04:36Z",
"html_url": "https://github.com/huggingface/datasets/pull/200#issuecomment-63432600... | 2020-05-26T21:59:48Z | 2020-05-27T09:07:54Z | 2020-05-27T09:07:53Z | MEMBER | null | null | null | Right now if the schema was not specified when instantiating `ArrowWriter`, then it could be set with the first `write_table` for example (it calls `self._build_writer()` to do so).
I noticed that it was not done if the first example is added via `.write`, so I added it for coherence. | {
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https://api.github.com/repos/huggingface/datasets/issues/199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/199/comments | https://api.github.com/repos/huggingface/datasets/issues/199/events | https://github.com/huggingface/datasets/pull/199 | 625,217,440 | MDExOlB1bGxSZXF1ZXN0NDIzNDc4ODIx | 199 | Fix GermEval 2014 dataset infos | {
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{
"author_association": "CONTRIBUTOR",
"body": "Hopefully. this also fixes the dataset view on https://huggingface.co/nlp/viewer/ :)",
"created_at": "2020-05-26T21:43:08Z",
"html_url": "https://github.com/huggingface/datasets/pull/199#issuecomment-634295586",
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"issue_url": "h... | 2020-05-26T21:41:44Z | 2020-05-26T21:50:24Z | 2020-05-26T21:50:24Z | CONTRIBUTOR | null | null | null | Hi,
this PR just removes the `dataset_info.json` file and adds a newly generated `dataset_infos.json` file. | {
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https://api.github.com/repos/huggingface/datasets/issues/198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/198/comments | https://api.github.com/repos/huggingface/datasets/issues/198/events | https://github.com/huggingface/datasets/issues/198 | 625,200,627 | MDU6SXNzdWU2MjUyMDA2Mjc= | 198 | Index outside of table length | {
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{
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"body": "Sounds like something related to the nlp viewer @srush ",
"created_at": "2020-05-26T22:18:17Z",
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} | The offset input box warns of numbers larger than a limit (like 2000) but then the errors start at a smaller value than that limit (like 1955).
> ValueError: Index (2000) outside of table length (2000).
> Traceback:
> File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _ru... | {
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https://api.github.com/repos/huggingface/datasets/issues/197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/197/comments | https://api.github.com/repos/huggingface/datasets/issues/197/events | https://github.com/huggingface/datasets/issues/197 | 624,966,904 | MDU6SXNzdWU2MjQ5NjY5MDQ= | 197 | Scientific Papers only downloading Pubmed | {
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"body": "Hi so there are indeed two configurations in the datasets as you can see [here](https://github.com/huggingface/nlp/blob/master/datasets/scientific_papers/scientific_papers.py#L81-L82).\r\n\r\nYou can load either one with:\r\n```python\r\ndataset = nlp.load_dataset(... | 2020-05-26T15:18:47Z | 2020-05-28T08:19:28Z | 2020-05-28T08:19:28Z | NONE | null | null | {
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I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 10... | {
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https://api.github.com/repos/huggingface/datasets/issues/196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/196/comments | https://api.github.com/repos/huggingface/datasets/issues/196/events | https://github.com/huggingface/datasets/pull/196 | 624,901,266 | MDExOlB1bGxSZXF1ZXN0NDIzMjIwMjIw | 196 | Check invalid config name | {
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"body": "I think that's not related to the config name but the filenames in the dummy data. Mostly it occurs with files downloaded from drive. In that case the dummy file name is extracted from the google drive link and it corresponds to what comes after `https://drive... | 2020-05-26T13:52:51Z | 2020-05-26T21:04:56Z | 2020-05-26T21:04:55Z | MEMBER | null | null | null | As said in #194, we should raise an error if the config name has bad characters.
Bad characters are those that are not allowed for directory names on windows. | {
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https://api.github.com/repos/huggingface/datasets/issues/195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/195/comments | https://api.github.com/repos/huggingface/datasets/issues/195/events | https://github.com/huggingface/datasets/pull/195 | 624,858,686 | MDExOlB1bGxSZXF1ZXN0NDIzMTg1NTAy | 195 | [Dummy data command] add new case to command | {
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"body": "@lhoestq - tiny change in the dummy data command, should be good to merge.",
"created_at": "2020-05-26T12:53:05Z",
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"issue_url": "https://api... | 2020-05-26T12:50:47Z | 2020-05-26T14:38:28Z | 2020-05-26T14:38:27Z | CONTRIBUTOR | null | null | null | Qanta: #194 introduces a case that was not noticed before. This change in code helps community users to have an easier time creating the dummy data. | {
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"body": "@lhoestq - the config name is rather special here: *E.g.* `mode=first,char_skip=25`. It includes `=` and `,` - will that be a problem for windows folders, you think? \r\n\r\nApart from that good to merge for me.",
"created_at": "2020-05-26T12:55:05Z",
... | 2020-05-26T12:44:35Z | 2020-05-26T16:58:17Z | 2020-05-26T13:16:20Z | CONTRIBUTOR | null | null | null | Fixes dummy data for #169 @EntilZha | {
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"body": "I guess we can use `tf.data.Dataset.from_generator` instead. I'll give it a try.",
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} | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
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https://api.github.com/repos/huggingface/datasets/issues/192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/192/comments | https://api.github.com/repos/huggingface/datasets/issues/192/events | https://github.com/huggingface/datasets/issues/192 | 624,397,592 | MDU6SXNzdWU2MjQzOTc1OTI= | 192 | [Question] Create Apache Arrow dataset from raw text file | {
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"body": "We store every dataset in the Arrow format. This is convenient as it supports nested types and memory mapping. If you are curious feel free to check the [pyarrow documentation](https://arrow.apache.org/docs/python/)\r\n\r\nYou can use this library to load your covi... | 2020-05-25T16:42:47Z | 2021-12-18T01:45:34Z | 2020-10-27T15:20:22Z | CONTRIBUTOR | null | null | {
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} | Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add i... | {
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"body": "Nice ! :) \r\nCan we group them into one dataset with two versions, instead of having two datasets ?",
"created_at": "2020-05-25T08:12:31Z",
"html_url": "https://github.com/huggingface/datasets/pull/190#issuecomment-633442449",
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"iss... | 2020-05-25T08:08:40Z | 2020-05-25T16:28:46Z | 2020-05-25T16:28:45Z | CONTRIBUTOR | null | null | null | This PR add the Spanish Squad versions 1 and 2 datasets.
Fixes #164 | {
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https://api.github.com/repos/huggingface/datasets/issues/189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/189/comments | https://api.github.com/repos/huggingface/datasets/issues/189/events | https://github.com/huggingface/datasets/issues/189 | 624,048,881 | MDU6SXNzdWU2MjQwNDg4ODE= | 189 | [Question] BERT-style multiple choice formatting | {
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"body": "Hi @sarahwie, can you details this a little more?\r\n\r\nI'm not sure I understand what you refer to and what you mean when you say \"Previously, this was done by passing a list of InputFeatures to the dataloader instead of a list of InputFeature\"",
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} | Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the nu... | {
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"body": "On a similar note it would be nice to differentiate between train-easy, train-medium, and train-hard",
"created_at": "2020-05-24T15:52:25Z",
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} | Currently only the algebra_linear_1d is supported. Is there a timeline for making the other modules supported. If no timeline is established, how can I help? | {
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"body": "I have seen that somebody is hard working on easierly loadable wikipedia. #129 \r\nMaybe I should wait a few days for that version ?",
"created_at": "2020-05-23T10:21:22Z",
"html_url": "https://github.com/huggingface/datasets/issues/187#issuecomment-63... | 2020-05-23T10:18:52Z | 2020-05-25T00:12:02Z | 2020-05-25T00:12:02Z | CONTRIBUTOR | null | null | {
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* `WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be ... | {
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"body": "Looks like a duplicate of #120.\r\nThis is already fixed on master. We'll do a new release on pypi soon",
"created_at": "2020-05-23T11:09:30Z",
"html_url": "https://github.com/huggingface/datasets/issues/186#issuecomment-633028562",
"id": 633028562,
... | 2020-05-23T06:40:58Z | 2020-05-23T20:22:18Z | 2020-05-23T20:22:17Z | NONE | null | null | {
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} | Sample code:
```python
import nlp
dataset = nlp.load_dataset('boolq')
def func1(x):
return x
def func2(x):
return None
train_output = dataset["train"].map(func1)
valid_output = dataset["validation"].map(func1)
print()
print(len(train_output), len(valid_output))
# Output: 9427 9427
```
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/185/comments | https://api.github.com/repos/huggingface/datasets/issues/185/events | https://github.com/huggingface/datasets/pull/185 | 623,172,484 | MDExOlB1bGxSZXF1ZXN0NDIxODkxNjY2 | 185 | [Commands] In-detail instructions to create dummy data folder | {
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"author_association": "MEMBER",
"body": "awesome !",
"created_at": "2020-05-22T14:00:15Z",
"html_url": "https://github.com/huggingface/datasets/pull/185#issuecomment-632704633",
"id": 632704633,
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"node_id": "MD... | 2020-05-22T12:26:25Z | 2020-05-22T14:06:35Z | 2020-05-22T14:06:34Z | CONTRIBUTOR | null | null | null | ### Dummy data command
This PR adds a new command `python nlp-cli dummy_data <path_to_dataset_folder>` that gives in-detail instructions on how to add the dummy data files.
It would be great if you can try it out by moving the current dummy_data folder of any dataset in `./datasets` with `mv datasets/<dataset_s... | {
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https://api.github.com/repos/huggingface/datasets/issues/182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/182/comments | https://api.github.com/repos/huggingface/datasets/issues/182/events | https://github.com/huggingface/datasets/pull/182 | 622,646,770 | MDExOlB1bGxSZXF1ZXN0NDIxNDcxMjg4 | 182 | Update newsroom.py | {
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https://api.github.com/repos/huggingface/datasets/issues/183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/183/comments | https://api.github.com/repos/huggingface/datasets/issues/183/events | https://github.com/huggingface/datasets/issues/183 | 623,054,270 | MDU6SXNzdWU2MjMwNTQyNzA= | 183 | [Bug] labels of glue/ax are all -1 | {
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{
"author_association": "MEMBER",
"body": "This is the test set given by the Glue benchmark. The labels are not provided, and therefore set to -1.",
"created_at": "2020-05-22T12:32:09Z",
"html_url": "https://github.com/huggingface/datasets/issues/183#issuecomment-632667840",
"id": 632667840,
... | 2020-05-22T08:43:36Z | 2020-05-22T22:14:05Z | 2020-05-22T22:14:05Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ```
ax = nlp.load_dataset('glue', 'ax')
for i in range(30): print(ax['test'][i]['label'], end=', ')
```
```
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/184/comments | https://api.github.com/repos/huggingface/datasets/issues/184/events | https://github.com/huggingface/datasets/pull/184 | 623,120,929 | MDExOlB1bGxSZXF1ZXN0NDIxODQ5MTQ3 | 184 | Use IndexError instead of ValueError when index out of range | {
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When I want to create a wrapper of arrow dataset to adapt to fastai,
I don't know how to initialize it, so I didn't use inheritance but use object composition.
I wrote sth like this.
```
clas HF_dataset():
def __init__(self, arrow_dataset):
self.dset = arrow_datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/181/comments | https://api.github.com/repos/huggingface/datasets/issues/181/events | https://github.com/huggingface/datasets/issues/181 | 622,634,420 | MDU6SXNzdWU2MjI2MzQ0MjA= | 181 | Cannot upload my own dataset | {
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{
"author_association": "NONE",
"body": "It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too.",
"created_at": "2020-05-21T16:55:53Z",
"html_url": "https://github.com/huggingface/datasets/issues/181#issuecomment-632222420",
"id": 632222420,
"issu... | 2020-05-21T16:45:52Z | 2020-06-18T22:14:42Z | 2020-06-18T22:14:42Z | NONE | null | null | {
"completed": 0,
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} | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
... | {
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https://api.github.com/repos/huggingface/datasets/issues/180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/180/comments | https://api.github.com/repos/huggingface/datasets/issues/180/events | https://github.com/huggingface/datasets/pull/180 | 622,556,861 | MDExOlB1bGxSZXF1ZXN0NDIxMzk5Nzg2 | 180 | Add hall of fame | {
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https://api.github.com/repos/huggingface/datasets/issues/179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/179/comments | https://api.github.com/repos/huggingface/datasets/issues/179/events | https://github.com/huggingface/datasets/issues/179 | 622,525,410 | MDU6SXNzdWU2MjI1MjU0MTA= | 179 | [Feature request] separate split name and split instructions | {
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"body": "If your dataset is a collection of sub-datasets, you should probably consider having one config per sub-dataset. For example for Glue, we have sst2, mnli etc.\r\nIf you want to have multiple train sets (for example one per stage). The easiest solution would be to n... | 2020-05-21T14:10:51Z | 2020-05-22T13:31:08Z | 2020-05-22T13:31:07Z | MEMBER | null | null | {
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} | Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be ... | {
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https://api.github.com/repos/huggingface/datasets/issues/178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/178/comments | https://api.github.com/repos/huggingface/datasets/issues/178/events | https://github.com/huggingface/datasets/pull/178 | 621,979,849 | MDExOlB1bGxSZXF1ZXN0NDIwOTMyMDI5 | 178 | [Manual data] improve error message for manual data in general | {
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I guess the manual download instructions for `xsum` can also be improved. | {
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https://api.github.com/repos/huggingface/datasets/issues/175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/175/comments | https://api.github.com/repos/huggingface/datasets/issues/175/events | https://github.com/huggingface/datasets/issues/175 | 621,929,428 | MDU6SXNzdWU2MjE5Mjk0Mjg= | 175 | [Manual data dir] Error message: nlp.load_dataset('xsum') -> TypeError | {
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} | v 0.1.0 from pip
```python
import nlp
xsum = nlp.load_dataset('xsum')
```
Issue is `dl_manager.manual_dir`is `None`
```python
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-42-8a32f06... | {
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https://api.github.com/repos/huggingface/datasets/issues/176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/176/comments | https://api.github.com/repos/huggingface/datasets/issues/176/events | https://github.com/huggingface/datasets/pull/176 | 621,934,638 | MDExOlB1bGxSZXF1ZXN0NDIwODkzNDky | 176 | [Tests] Refactor MockDownloadManager | {
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The print function was not of much help I think.
We should think about adding a command that creates the dummy folder structure for the user. | {
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https://api.github.com/repos/huggingface/datasets/issues/174 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/174/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/174/comments | https://api.github.com/repos/huggingface/datasets/issues/174/events | https://github.com/huggingface/datasets/issues/174 | 621,928,403 | MDU6SXNzdWU2MjE5Mjg0MDM= | 174 | nlp.load_dataset('xsum') -> TypeError | {
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https://api.github.com/repos/huggingface/datasets/issues/173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/173/comments | https://api.github.com/repos/huggingface/datasets/issues/173/events | https://github.com/huggingface/datasets/pull/173 | 621,764,932 | MDExOlB1bGxSZXF1ZXN0NDIwNzUyNzQy | 173 | Rm extracted test dirs | {
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{
"author_association": "CONTRIBUTOR",
"body": "Thanks for cleaning up the extracted dummy data folders! Instead of changing the file_utils we could also just put these folders under `.gitignore` (or maybe already done?).",
"created_at": "2020-05-20T16:32:16Z",
"html_url": "https://github.com/huggin... | 2020-05-20T13:30:48Z | 2020-05-22T16:34:36Z | 2020-05-22T16:34:35Z | MEMBER | null | null | null | All the dummy data used for tests were duplicated. For each dataset, we had one zip file but also its extracted directory. I removed all these directories
Furthermore instead of extracting next to the dummy_data.zip file, we extract in the temp `cached_dir` used for tests, so that all the extracted directories get r... | {
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https://api.github.com/repos/huggingface/datasets/issues/172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/172/comments | https://api.github.com/repos/huggingface/datasets/issues/172/events | https://github.com/huggingface/datasets/issues/172 | 621,377,386 | MDU6SXNzdWU2MjEzNzczODY= | 172 | Clone not working on Windows environment | {
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{
"author_association": "MEMBER",
"body": "Should be fixed on master now :)",
"created_at": "2020-05-23T11:27:52Z",
"html_url": "https://github.com/huggingface/datasets/issues/172#issuecomment-633031480",
"id": 633031480,
"issue_url": "https://api.github.com/repos/huggingface/datasets/issues... | 2020-05-20T00:45:14Z | 2020-05-23T12:49:13Z | 2020-05-23T11:27:52Z | CONTRIBUTOR | null | null | {
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} | Cloning in a windows environment is not working because of use of special character '?' in folder name ..
Please consider changing the folder name ....
Reference to folder -
nlp/datasets/cnn_dailymail/dummy/3.0.0/3.0.0/dummy_data-zip-extracted/dummy_data/uc?export=download&id=0BwmD_VLjROrfM1BxdkxVaTY2bWs/dailymail/s... | {
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https://api.github.com/repos/huggingface/datasets/issues/171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/171/comments | https://api.github.com/repos/huggingface/datasets/issues/171/events | https://github.com/huggingface/datasets/pull/171 | 621,199,128 | MDExOlB1bGxSZXF1ZXN0NDIwMjk0ODM0 | 171 | fix squad metric format | {
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{
"author_association": "MEMBER",
"body": "One thing for SQuAD is that I wanted to be able to use the SQuAD dataset directly in the metrics and I'm not sure it will be possible with this format.\r\n\r\n(maybe it's not really possible in general though)",
"created_at": "2020-05-19T21:26:10Z",
"html_u... | 2020-05-19T18:37:36Z | 2020-05-22T13:36:50Z | 2020-05-22T13:36:48Z | MEMBER | null | null | null | The format of the squad metric was wrong.
This should fix #143
I tested with
```python3
predictions = [
{'id': '56be4db0acb8001400a502ec', 'prediction_text': 'Denver Broncos'}
]
references = [
{'answers': [{'text': 'Denver Broncos'}], 'id': '56be4db0acb8001400a502ec'}
]
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/170 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/170/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/170/comments | https://api.github.com/repos/huggingface/datasets/issues/170/events | https://github.com/huggingface/datasets/pull/170 | 621,119,747 | MDExOlB1bGxSZXF1ZXN0NDIwMjMwMDIx | 170 | Rename anli dataset | {
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I renamed the current `anli` dataset by `art`. | {
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https://api.github.com/repos/huggingface/datasets/issues/168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/168/comments | https://api.github.com/repos/huggingface/datasets/issues/168/events | https://github.com/huggingface/datasets/issues/168 | 620,959,819 | MDU6SXNzdWU2MjA5NTk4MTk= | 168 | Loading 'wikitext' dataset fails | {
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{
"author_association": "MEMBER",
"body": "Hi, make sure you have a recent version of pyarrow.\r\n\r\nAre you using it in Google Colab? In this case, this error is probably the same as #128",
"created_at": "2020-05-19T13:10:05Z",
"html_url": "https://github.com/huggingface/datasets/issues/168#issuec... | 2020-05-19T13:04:29Z | 2020-05-26T21:46:52Z | 2020-05-26T21:46:52Z | NONE | null | null | {
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} | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/169/comments | https://api.github.com/repos/huggingface/datasets/issues/169/events | https://github.com/huggingface/datasets/pull/169 | 621,099,682 | MDExOlB1bGxSZXF1ZXN0NDIwMjE1NDkw | 169 | Adding Qanta (Quizbowl) Dataset | {
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"body": "Hi @EntilZha - sorry for waiting so long until taking action here. We created a new command and a new recipe of how to add dummy_data. Can you maybe rebase to `master` as explained in 7. of https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-... | 2020-05-19T16:03:01Z | 2020-05-26T12:52:31Z | 2020-05-26T12:52:31Z | CONTRIBUTOR | null | null | null | This PR adds the qanta question answering datasets from [Quizbowl: The Case for Incremental Question Answering](https://arxiv.org/abs/1904.04792) and [Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples](https://www.aclweb.org/anthology/Q19-1029/) (adversarial fold)
This part... | {
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https://api.github.com/repos/huggingface/datasets/issues/167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/167/comments | https://api.github.com/repos/huggingface/datasets/issues/167/events | https://github.com/huggingface/datasets/pull/167 | 620,908,786 | MDExOlB1bGxSZXF1ZXN0NDIwMDY0NDMw | 167 | [Tests] refactor tests | {
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"body": "Nice !",
"created_at": "2020-05-19T15:59:38Z",
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"node_id": "MDEyO... | 2020-05-19T11:43:32Z | 2020-05-19T16:17:12Z | 2020-05-19T16:17:10Z | CONTRIBUTOR | null | null | null | This PR separates AWS and Local tests to remove these ugly statements in the script:
```python
if "/" not in dataset_name:
logging.info("Skip {} because it is a canonical dataset")
return
```
To run a `aws` test, one should now run the following command:
```python
pytest -s... | {
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"body": "+1 for the naming convention\r\n\r\nAbout the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage)",
"created_at": "2020-05-20T00:15:06Z",
"html_url": "https://github.com/huggingface/... | 2020-05-19T10:08:46Z | 2020-06-23T15:07:33Z | 2020-06-23T15:07:32Z | MEMBER | null | null | {
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} | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-pl... | {
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https://api.github.com/repos/huggingface/datasets/issues/165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/165/comments | https://api.github.com/repos/huggingface/datasets/issues/165/events | https://github.com/huggingface/datasets/issues/165 | 620,758,221 | MDU6SXNzdWU2MjA3NTgyMjE= | 165 | ANLI | {
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} | Can I recommend the following:
For ANLI, use https://github.com/facebookresearch/anli. As that paper says, "Our dataset is not
to be confused with abductive NLI (Bhagavatula et al., 2019), which calls itself αNLI, or ART.".
Indeed, the paper cited under what is currently called anli says in the abstract "We int... | {
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"author_association": "MEMBER",
"body": "Hello @mrm8488, are these datasets official datasets published in an NLP/CL/ML venue?",
"created_at": "2020-05-24T17:58:40Z",
"html_url": "https://github.com/huggingface/datasets/issues/164#issuecomment-633267772",
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"issue_url": "htt... | 2020-05-18T22:18:21Z | 2020-05-25T16:28:45Z | 2020-05-25T16:28:45Z | CONTRIBUTOR | null | null | {
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In order to cover multilingual support a little step could be adding standard Datasets used for Spanish NER and POS tasks.
I can provide it in raw and preprocessed formats. | {
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https://api.github.com/repos/huggingface/datasets/issues/163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/163/comments | https://api.github.com/repos/huggingface/datasets/issues/163/events | https://github.com/huggingface/datasets/issues/163 | 620,534,307 | MDU6SXNzdWU2MjA1MzQzMDc= | 163 | [Feature request] Add cos-e v1.0 | {
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"body": "Sounds good, @mariamabarham do you want to give a look?\r\nI think we should have two configurations so we can allow either version of the dataset to be loaded with the `1.0` version being the default maybe.\r\n\r\nCc some authors of the great cos-e: @nazneenrajani... | 2020-05-18T22:05:26Z | 2020-06-16T23:15:25Z | 2020-06-16T18:52:06Z | NONE | null | null | {
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} | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/162/comments | https://api.github.com/repos/huggingface/datasets/issues/162/events | https://github.com/huggingface/datasets/pull/162 | 620,513,554 | MDExOlB1bGxSZXF1ZXN0NDE5NzQ4Mzky | 162 | fix prev files hash in map | {
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"body": "Awesome! ",
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"node_id"... | 2020-05-18T21:20:51Z | 2020-05-18T21:36:21Z | 2020-05-18T21:36:20Z | MEMBER | null | null | null | Fix the `.map` issue in #160.
This makes sure it takes the previous files when computing the hash. | {
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"body": "usually you can replace `download` in your dataset script with `download_and_prepare()` - could you share the code for your dataset here? :-) ",
"created_at": "2020-05-18T21:00:31Z",
"html_url": "https://github.com/huggingface/datasets/issues/161#issue... | 2020-05-18T20:31:30Z | 2020-05-24T18:10:03Z | null | CONTRIBUTOR | null | null | {
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} | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/160/comments | https://api.github.com/repos/huggingface/datasets/issues/160/events | https://github.com/huggingface/datasets/issues/160 | 620,448,236 | MDU6SXNzdWU2MjA0NDgyMzY= | 160 | caching in map causes same result to be returned for train, validation and test | {
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{
"author_association": "CONTRIBUTOR",
"body": "Hi @dpressel, \r\n\r\nthanks for posting your issue! Can you maybe add a complete code snippet that we can copy paste to reproduce the error? For example, I'm not sure where the variable `train_set` comes from in your code and it seems like you are loading mul... | 2020-05-18T19:22:03Z | 2020-05-18T21:36:20Z | 2020-05-18T21:36:20Z | NONE | null | null | {
"completed": 0,
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} | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.... | {
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https://api.github.com/repos/huggingface/datasets/issues/159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/159/comments | https://api.github.com/repos/huggingface/datasets/issues/159/events | https://github.com/huggingface/datasets/issues/159 | 620,420,700 | MDU6SXNzdWU2MjA0MjA3MDA= | 159 | How can we add more datasets to nlp library? | {
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"body": "Found it. https://github.com/huggingface/nlp/tree/master/datasets",
"created_at": "2020-05-18T18:37:07Z",
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https://api.github.com/repos/huggingface/datasets/issues/157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/157/comments | https://api.github.com/repos/huggingface/datasets/issues/157/events | https://github.com/huggingface/datasets/issues/157 | 620,356,542 | MDU6SXNzdWU2MjAzNTY1NDI= | 157 | nlp.load_dataset() gives "TypeError: list_() takes exactly one argument (2 given)" | {
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"body": "You can just run: \r\n`val = nlp.load_dataset('squad')` \r\n\r\nif you want to have just the validation script you can also do:\r\n\r\n`val = nlp.load_dataset('squad', split=\"validation\")`",
"created_at": "2020-05-18T21:15:11Z",
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} | I'm trying to load datasets from nlp but there seems to have error saying
"TypeError: list_() takes exactly one argument (2 given)"
gist can be found here
https://gist.github.com/saahiluppal/c4b878f330b10b9ab9762bc0776c0a6a | {
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https://api.github.com/repos/huggingface/datasets/issues/158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/158/comments | https://api.github.com/repos/huggingface/datasets/issues/158/events | https://github.com/huggingface/datasets/pull/158 | 620,396,658 | MDExOlB1bGxSZXF1ZXN0NDE5NjUyNTQy | 158 | add Toronto Books Corpus | {
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.
It on consider TMX and plain text files (Moses) defined in the table **Statistics and TMX/Moses Downloads** [here](http://opus.nlpl.eu/Books.php ) | {
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https://api.github.com/repos/huggingface/datasets/issues/155 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/155/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/155/comments | https://api.github.com/repos/huggingface/datasets/issues/155/events | https://github.com/huggingface/datasets/pull/155 | 620,067,946 | MDExOlB1bGxSZXF1ZXN0NDE5Mzg1ODM0 | 155 | Include more links in README, fix typos | {
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{
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"body": "I fixed a conflict :) thanks !",
"created_at": "2020-05-28T08:31:52Z",
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https://api.github.com/repos/huggingface/datasets/issues/154 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/154/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/154/comments | https://api.github.com/repos/huggingface/datasets/issues/154/events | https://github.com/huggingface/datasets/pull/154 | 620,059,066 | MDExOlB1bGxSZXF1ZXN0NDE5Mzc4Mzgw | 154 | add Ubuntu Dialogs Corpus datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/153/comments | https://api.github.com/repos/huggingface/datasets/issues/153/events | https://github.com/huggingface/datasets/issues/153 | 619,972,246 | MDU6SXNzdWU2MTk5NzIyNDY= | 153 | Meta-datasets (GLUE/XTREME/...) – Special care to attributions and citations | {
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"body": "As @yoavgo suggested, there should be the possibility to call a function like nlp.bib that outputs all bibtex ref from the datasets and models actually used and eventually nlp.bib.forreadme that would output the same info + versions numbers so they can be included i... | 2020-05-18T07:24:22Z | 2020-05-18T21:18:16Z | null | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/152/comments | https://api.github.com/repos/huggingface/datasets/issues/152/events | https://github.com/huggingface/datasets/pull/152 | 619,971,900 | MDExOlB1bGxSZXF1ZXN0NDE5MzA4OTE2 | 152 | Add GLUE config name check | {
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"body": "If tests are being added, any guidance on where to add tests would be helpful!\r\n\r\nTagging @thomwolf for review",
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https://api.github.com/repos/huggingface/datasets/issues/151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/151/comments | https://api.github.com/repos/huggingface/datasets/issues/151/events | https://github.com/huggingface/datasets/pull/151 | 619,968,480 | MDExOlB1bGxSZXF1ZXN0NDE5MzA2MTYz | 151 | Fix JSON tests. | {
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https://api.github.com/repos/huggingface/datasets/issues/156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/156/comments | https://api.github.com/repos/huggingface/datasets/issues/156/events | https://github.com/huggingface/datasets/issues/156 | 620,263,687 | MDU6SXNzdWU2MjAyNjM2ODc= | 156 | SyntaxError with WMT datasets | {
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"author_association": "CONTRIBUTOR",
"body": "Jeez - don't know what happened there :D Should be fixed now! \r\n\r\nThanks a lot for reporting this @tomhosking !",
"created_at": "2020-05-18T21:13:37Z",
"html_url": "https://github.com/huggingface/datasets/issues/156#issuecomment-630438342",
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} | The following snippet produces a syntax error:
```
import nlp
dataset = nlp.load_dataset('wmt14')
print(dataset['train'][0])
```
```
Traceback (most recent call last):
File "/home/tom/.local/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.... | {
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https://api.github.com/repos/huggingface/datasets/issues/150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/150/comments | https://api.github.com/repos/huggingface/datasets/issues/150/events | https://github.com/huggingface/datasets/pull/150 | 619,809,645 | MDExOlB1bGxSZXF1ZXN0NDE5MTgyODU4 | 150 | Add WNUT 17 NER dataset | {
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{
"author_association": "CONTRIBUTOR",
"body": "The PR looks awesome! \r\nSince you have already added a dataset I imagine the tests as described in 5. of https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset all pass, right @stefan-it ?\r\n\r\nI think we are then good to merge... | 2020-05-17T22:19:04Z | 2020-05-26T20:37:59Z | 2020-05-26T20:37:59Z | CONTRIBUTOR | null | null | null | Hi,
this PR adds the WNUT 17 dataset to `nlp`.
> Emerging and Rare entity recognition
> This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions. Named entities form the basis of many modern approaches to other tasks (like event clustering and summarisati... | {
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https://api.github.com/repos/huggingface/datasets/issues/149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/149/comments | https://api.github.com/repos/huggingface/datasets/issues/149/events | https://github.com/huggingface/datasets/issues/149 | 619,735,739 | MDU6SXNzdWU2MTk3MzU3Mzk= | 149 | [Feature request] Add Ubuntu Dialogue Corpus dataset | {
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"author_association": "CONTRIBUTOR",
"body": "@AlphaMycelium the Ubuntu Dialogue Corpus [version 2]( https://github.com/rkadlec/ubuntu-ranking-dataset-creator) is added. Note that it requires a manual download by following the download instructions in the [repos]( https://github.com/rkadlec/ubuntu-ranking... | 2020-05-17T15:42:39Z | 2020-05-18T17:01:46Z | 2020-05-18T17:01:46Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/148/comments | https://api.github.com/repos/huggingface/datasets/issues/148/events | https://github.com/huggingface/datasets/issues/148 | 619,590,555 | MDU6SXNzdWU2MTk1OTA1NTU= | 148 | _download_and_prepare() got an unexpected keyword argument 'verify_infos' | {
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{
"author_association": "NONE",
"body": "Same error for dataset 'wiki40b'",
"created_at": "2020-05-17T17:47:04Z",
"html_url": "https://github.com/huggingface/datasets/issues/148#issuecomment-629835120",
"id": 629835120,
"issue_url": "https://api.github.com/repos/huggingface/datasets/issues/1... | 2020-05-17T01:48:53Z | 2020-05-18T07:38:33Z | 2020-05-18T07:38:33Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | # Reproduce
In Colab,
```
%pip install -q nlp
%pip install -q apache_beam mwparserfromhell
dataset = nlp.load_dataset('wikipedia')
```
get
```
Downloading and preparing dataset wikipedia/20200501.aa (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/w... | {
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{
"author_association": "MEMBER",
"body": "Indeed. Probably we will want to have a similar method directly in the library",
"created_at": "2020-05-17T12:32:09Z",
"html_url": "https://github.com/huggingface/datasets/issues/147#issuecomment-629789586",
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"issue_url": "https://ap... | 2020-05-17T00:28:24Z | 2020-06-18T16:23:23Z | 2020-06-18T16:23:23Z | NONE | null | null | {
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} | It would be nice if we could use sklearn `train_test_split` to quickly generate subsets from the dataset objects returned by `nlp.load_dataset`. At the moment the code:
```python
data = nlp.load_dataset('imdb', cache_dir=data_cache)
f_half, s_half = train_test_split(data['train'], test_size=0.5, random_state=seed)... | {
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https://api.github.com/repos/huggingface/datasets/issues/146 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/146/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/146/comments | https://api.github.com/repos/huggingface/datasets/issues/146/events | https://github.com/huggingface/datasets/pull/146 | 619,564,653 | MDExOlB1bGxSZXF1ZXN0NDE5MDI5MjUx | 146 | Add BERTScore to metrics | {
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Here is an example of how to use it.
```sh
import nlp
bertscore = nlp.load_metric('metrics/bertscore') # or simply nlp.load_metric('bertscore') after this is added to huggingface's s3 bucket
predictions = ['example', 'fruit']
references = [[... | {
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https://api.github.com/repos/huggingface/datasets/issues/144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/144/comments | https://api.github.com/repos/huggingface/datasets/issues/144/events | https://github.com/huggingface/datasets/pull/144 | 619,477,367 | MDExOlB1bGxSZXF1ZXN0NDE4OTY5NjA1 | 144 | [AWS tests] AWS test should not run for canonical datasets | {
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This PR changes to logic to the following:
1) All datasets that are present in `nlp/datasets` are tested only locally. This way when one adds a canonical da... | {
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https://api.github.com/repos/huggingface/datasets/issues/143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/143/comments | https://api.github.com/repos/huggingface/datasets/issues/143/events | https://github.com/huggingface/datasets/issues/143 | 619,457,641 | MDU6SXNzdWU2MTk0NTc2NDE= | 143 | ArrowTypeError in squad metrics | {
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"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
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{
"author_association": "MEMBER",
"body": "There was an issue in the format, thanks.\r\nNow you can do\r\n```python3\r\nsquad_dset = nlp.load_dataset(\"squad\")\r\nsquad_metric = nlp.load_metric(\"/Users/quentinlhoest/Desktop/hf/nlp-bis/metrics/squad\")\r\npredictions = [\r\n {\"id\": v[\"id\"], \"predic... | 2020-05-16T12:06:37Z | 2020-05-22T13:38:52Z | 2020-05-22T13:36:48Z | CONTRIBUTOR | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | `squad_metric.compute` is giving following error
```
ArrowTypeError: Could not convert [{'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}] with type list: was not a dict, tuple, or recognized null value for conversion to struct type
```
This is how my predictions and references lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/142/comments | https://api.github.com/repos/huggingface/datasets/issues/142/events | https://github.com/huggingface/datasets/pull/142 | 619,450,068 | MDExOlB1bGxSZXF1ZXN0NDE4OTU0OTc1 | 142 | [WMT] Add all wmt | {
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The datasets are fully functional though for the "big" languag... | {
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https://api.github.com/repos/huggingface/datasets/issues/141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/141/comments | https://api.github.com/repos/huggingface/datasets/issues/141/events | https://github.com/huggingface/datasets/pull/141 | 619,447,090 | MDExOlB1bGxSZXF1ZXN0NDE4OTUzMzQw | 141 | [Clean up] remove bogus folder | {
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"body": "Same for the dataset_infos.json at the project root no ?",
"created_at": "2020-05-16T11:43:01Z",
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"issue_url": "https://api.github.com/repos/huggi... | 2020-05-16T11:13:42Z | 2020-05-16T13:24:27Z | 2020-05-16T13:24:26Z | CONTRIBUTOR | null | null | null | @mariamabarham - I think you accidentally placed it there. | {
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https://api.github.com/repos/huggingface/datasets/issues/140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/140/comments | https://api.github.com/repos/huggingface/datasets/issues/140/events | https://github.com/huggingface/datasets/pull/140 | 619,443,613 | MDExOlB1bGxSZXF1ZXN0NDE4OTUxMzg4 | 140 | [Tests] run local tests as default | {
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"body": "You are right and I think those are usual best practice :) I'm 100% fine with this^^",
"created_at": "2020-05-16T11:39:57Z",
"html_url": "https://github.com/huggingface/datasets/pull/140#issuecomment-629632451",
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"issue_url": "h... | 2020-05-16T10:56:06Z | 2020-05-16T13:21:44Z | 2020-05-16T13:21:43Z | CONTRIBUTOR | null | null | null | This PR also enables local tests by default
I think it's safer for now to enable both local and aws tests for every commit. The problem currently is that when we do a PR to add a dataset, the dataset is not yet on AWS on therefore not tested on the PR itself. Thus the PR will always be green even if the datasets are... | {
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https://api.github.com/repos/huggingface/datasets/issues/139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/139/comments | https://api.github.com/repos/huggingface/datasets/issues/139/events | https://github.com/huggingface/datasets/pull/139 | 619,327,409 | MDExOlB1bGxSZXF1ZXN0NDE4ODc4NzMy | 139 | Add GermEval 2014 NER dataset | {
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"body": "Had really fun playing around with this new library :heart: ",
"created_at": "2020-05-15T23:43:33Z",
"html_url": "https://github.com/huggingface/datasets/pull/139#issuecomment-629550596",
"id": 629550596,
"issue_url": "https://api.github.com/re... | 2020-05-15T23:42:09Z | 2020-05-16T13:56:37Z | 2020-05-16T13:56:22Z | CONTRIBUTOR | null | null | null | Hi,
this PR adds the GermEval 2014 NER dataset 😃
> The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation [1] with the following properties:
> - The data was sampled from German Wikipedia and News Corpora as a collection of citations.
> - The dataset covers over 31,000... | {
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https://api.github.com/repos/huggingface/datasets/issues/138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/138/comments | https://api.github.com/repos/huggingface/datasets/issues/138/events | https://github.com/huggingface/datasets/issues/138 | 619,225,191 | MDU6SXNzdWU2MTkyMjUxOTE= | 138 | Consider renaming to nld | {
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{
"author_association": "NONE",
"body": "I would suggest `nlds`. NLP is a very general, broad and ambiguous term, the library is not about NLP (as in processing) per se, it is about accessing Natural Language related datasets. So the name should reflect its purpose.\r\n",
"created_at": "2020-05-15T20:50... | 2020-05-15T20:23:27Z | 2022-09-16T05:18:22Z | 2020-09-28T00:08:10Z | NONE | null | null | {
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} | Hey :)
Just making a thread here recording what I said on Twitter, as it's impossible to follow discussion there. It's also just really not a good way to talk about this sort of thing.
The issue is that modules go into the global namespace, so you shouldn't use variable names that conflict with module names. This... | {
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https://api.github.com/repos/huggingface/datasets/issues/135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/135/comments | https://api.github.com/repos/huggingface/datasets/issues/135/events | https://github.com/huggingface/datasets/pull/135 | 619,206,708 | MDExOlB1bGxSZXF1ZXN0NDE4Nzc4MTMw | 135 | Fix print statement in READ.md | {
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"body": "Indeed, thanks!",
"created_at": "2020-05-17T12:14:02Z",
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"node_id... | 2020-05-15T19:52:23Z | 2020-05-17T12:14:06Z | 2020-05-17T12:14:05Z | CONTRIBUTOR | null | null | null | print statement was throwing generator object instead of printing names of available datasets/metrics | {
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